Data science jobs in Retail Apparel and Fashion industry
Data Science in Retail Apparel and Fashion
Fashion companies use data science for trend forecasting, demand planning, personalised styling recommendations, inventory optimisation, and return rate reduction.
Common roles
Fashion demand forecasting data scientists, personalisation ML engineers, visual search researchers, and data analysts supporting buying and merchandising teams are active roles.
Key skills
Python, computer vision for fashion attribute extraction, time-series demand models, recommendation systems, SQL, and experience with retail ERP and PLM data are valued in apparel data science.
Principal Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineer
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Machine Learning Engineer
Senior Data Scientist
Machine Learning Engineer